Anna Pyayt

Publication Activity (10 Years)

Years Active: 2011-2025
Publications (10 Years): 15

Top Topics

Structured Data

Trained Classifiers

Top Venues

J. Data Intell.

Publications

Gyanendra Shrestha, Chutian Jiang, Sai Akula, Vivek Yannam, Anna Pyayt, Michael N. Gubanov
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting. EDBT (2025)
Surya Cheemalapati, Karthik Raj Konnaiyan, Yao Chen, Shengqian Ma, Anna Pyayt
Understanding Diffusion in a Single-Metal Organic Framework Crystal Used for Sensing Applications. Sensors 24 (12) (2024)
Maitry Chauhan, Anna Pyayt, Michael N. Gubanov
Learning Topical Structured Interfaces from Medical Research Literature. WWW (Companion Volume) (2023)
Michael N. Gubanov, Anna Pyayt, Sophie Pavia
Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets. DOLAP (2023)
Bhimesh Kandibedala, Anna Pyayt, Nickolas Piraino, Chris Caballero, Michael N. Gubanov
COVIDKG.ORG - a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning. EDBT (2023)
Bhimesh Kandibedala, Anna Pyayt, Chris Caballero, Michael N. Gubanov
Scalable Hierarchical Metadata Classification in Heterogeneous Large-scale Datasets. DOLAP (2023)
Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble
Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. CIKM (2022)
Michael N. Gubanov, Anna Pyayt, Sophie Pavia
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. Big Data (2022)
Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment. SIGMOD Conference (2022)
Sophie Pavia, Nick Piraino, Kazi Islam, Anna Pyayt, Michael N. Gubanov
Hybrid Metadata Classification in Large-scale Structured Datasets. J. Data Intell. 3 (4) (2022)
Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
Towards Unveiling Dark Web Structured Data. IEEE BigData (2021)
Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov
Learning Tabular Embeddings at Web Scale. IEEE BigData (2021)
Anna Pyayt, Rituparna Khan, Robert Brzozowski, Prahathees Eswara, Michael N. Gubanov
Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. IEEE BigData (2020)
Michael N. Gubanov, Anna Pyayt
Type-aware Web-search. EDBT (2016)
Karthik Raj Konnaiyan, Surya Cheemalapati, Anna Pyayt, Michael N. Gubanov
mHealth dipstick analyzer for monitoring of pregnancy complications. IEEE SENSORS (2016)
Michael N. Gubanov, Anna Pyayt
READFAST: high-relevance search-engine for big text. CIKM (2013)
Anna Pyayt, Michael N. Gubanov
BigDB: Automatic Machine Learning Optimizer CoRR (2013)
Surya Cheemalapati, Michael N. Gubanov, Michael Del Vale, Anna Pyayt
A real-time classification algorithm for emotion detection using portable EEG. IRI (2013)
Michael N. Gubanov, Anna Pyayt
ReadFast: Optimizing structural search relevance for big biomedical text. IRI (2013)
Michael N. Gubanov, Anna Pyayt
MEDREADFAST: A structural information retrieval engine for big clinical text. IRI (2012)
Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro
READFAST: Browsing large documents through unified famous objects (UFO). IRI (2011)
Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt
Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI (2011)